Run: 2026-09-25-01M3CKA7JR7QPVTW0RD90D0DXD

Run Details

Duration:
16.7s
Cost:
$0.013536
Provider:
Mistral

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The rain fell in sheets, turning the Soho streets into a slick, reflective mess. Neon signs blurred into streaks of colour, their glow diffused by the downpour. Detective Harlow Quinn’s boots splashed through puddles, her breath steady despite the cold bite in the air. She kept her eyes locked on the figure ahead—a shadow darting between the alleys, quick and deliberate. He’d been slippery, this one. Too slippery. The kind of slippery that made the hairs on the back of her neck stand up. She rounded a corner, her leather watch strap damp against her wrist. The green neon of The Raven’s Nest flickered above a narrow door, its light bleeding into the wet pavement. The suspect—tall, lean, dressed in a dark coat that flapped like broken wings—ducked inside. No hesitation. Like he knew the place. Harlow didn’t slow. She pushed through the door, the warmth of the bar hitting her like a wall. The scent of aged whiskey and stale smoke clung to the air. The walls were papered with yellowed maps and black-and-white photos, their edges curled with time. A few patrons glanced up, their faces half-lit by the dim bulbs. None of them looked surprised to see a detective storm in. The bartender, a broad man with a scar running from his temple to his jaw, wiped a glass with a rag that had seen better decades. “Evening, Detective. You’re soaked.” She ignored him, her gaze sweeping the room. No sign of her target. Then she saw it—the bookshelf at the far end, slightly ajar. A sliver of darkness beyond. Her pulse ticked up. She knew about the Nest’s secrets. Knew about the back room. But this was different. This was a chase. She moved, her steps silent despite the creak of the floorboards. The bookshelf swung open just enough for her to slip through. Beyond it, a narrow staircase descended into blackness. The air changed instantly—cooler, thicker, like breathing in damp earth. The sound of the bar vanished behind her. A single bulb flickered at the bottom of the stairs, casting long, wavering shadows. The suspect was already halfway down, his coat flapping as he took the steps two at a time. Harlow followed, her hand brushing the wall for balance. The stone was cold, slick with moisture. At the bottom, the staircase opened into a tunnel. The walls were lined with rusted pipes, their surfaces glistening. The floor sloped downward, the angle subtle but unmistakable. The suspect’s footsteps echoed ahead, quick and light. She broke into a jog, her breath shallow. The tunnel twisted, then split. Left or right? The footsteps had faded, swallowed by the dark. Then—a sound. A distant clatter, like metal striking stone. Right. The tunnel narrowed, the ceiling pressing lower. The air smelled of rust and something older, something that made her stomach tighten. Then, abruptly, the tunnel opened into a cavernous space. The Veil Market. Harlow froze. The abandoned Tube station was a labyrinth of stalls, their makeshift tables draped with cloths of deep red and black. Lanterns hung from the ceiling, their flames flickering in glass jars, casting eerie, shifting light. The air hummed with murmurs, the low thrum of bartering, the occasional sharp laugh. Figures moved between the stalls—some human, some… not. A woman with eyes like polished silver coins turned to stare at her. A man with too many fingers adjusted a display of vials filled with swirling, iridescent liquid. Her suspect was already deep in the crowd, his dark coat blending into the shadows. She spotted him at a stall, his back to her, speaking to a hunched figure wrapped in a tattered shawl. The old woman’s hands, gnarled and veined, held out a small, bone-white token. Harlow’s jaw tightened. A bone token. The entry requirement. She didn’t have one. She stepped forward, her boots scuffing against the grimy floor. The noise drew attention. A man with a face like cracked leather turned, his lips curling. “Lost, love?” She ignored him, her eyes fixed on the suspect. He was handing over something small and dark—money? Information?—and taking the token in return. Then he turned, his gaze locking onto hers. For a second, they just stared. Then he smirked, tucked the token into his pocket, and melted into the crowd. Harlow moved without thinking, pushing past a stall of jars filled with things that looked like they’d still be screaming if they had lungs. The crowd thickened, bodies pressing in, the scent of sweat and spices and something metallic filling her nose. She lost sight of him. “Oi.” A hand clamped around her wrist. She twisted, ready to snap, but the man holding her was built like a brick wall, his grip iron. “No token, no entry. Rules are rules.” She yanked her arm free. “Met Police. Step aside.” The man didn’t flinch. “Not here, you’re not.” His voice was a growl, his breath hot against her face. “This ain’t your beat, Detective.” She could feel the weight of the crowd’s attention, the way the air had gone still. The suspect was getting away. But the market—this place—it was a viper’s nest. One wrong move, and she’d be the one who didn’t walk out. A voice cut through the tension. “She’s with me.” Harlow turned. Tomás Herrera stood a few feet away, his olive skin slick with rain, his Saint Christopher medallion glinting in the lantern light. His left forearm bore the pale scar she remembered from his file. He held up a bone token, rolling it between his fingers. The brute’s grip loosened. “Tommy. Didn’t see you there.” Tomás didn’t smile. “Let her pass.” The man stepped back, but his eyes stayed on Harlow, cold and assessing. She didn’t wait for an invitation. She moved past him, her shoulder brushing Tomás’s as she fell into step beside him. “You’re either very brave or very stupid, Detective,” he murmured, his voice low. “This place doesn’t take kindly to cops.” “And you’re either very helpful or very guilty,” she shot back. “Which is it?” He exhaled through his nose, a sound that might’ve been a laugh. “I’m the guy who’s going to keep you from getting your throat slit before you find your man.” His gaze flicked over the crowd. “He went that way. But we’re running out of time.” She followed his line of sight. The suspect was at the far end of the market, slipping through a curtain of heavy, tattered fabric. Beyond it, the tunnel continued, darker, narrower. Harlow’s fingers twitched. Every instinct screamed at her to pursue. But the market was a maze, and the deeper she went, the less she knew about what waited in the dark. Tomás must’ve seen the hesitation. “That tunnel leads to the old sewer lines. If he gets in there, you’ll never find him. Not alive, anyway.” She clenched her jaw. The case—the *truth*—was right there. But the Veil Market wasn’t just a place. It was a warning. The suspect vanished through the curtain. Harlow made her choice.
created_at"2026-09-25T15:35:32.358Z" 9/25/2026, 3:35:32 PM
model"mistralai/mistral-medium-3.5-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency582
moderation_latency(null)
generation_time16445
tokens_prompt1104
tokens_completion1793
native_tokens_prompt1039
native_tokens_completion1597
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier"default"
usage0.013536
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790350532-u1LivTWAycbGKqT0SKTn"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790350532-7hLi9ZIb3D7SRGrvVWAY"
upstream_id"0711464be9464983b5e4a947c11be0e0"
provider_responses
0
endpoint_id"38ef23a9-5cb3-46fa-85ec-7aed174f04eb"
id"0711464be9464983b5e4a947c11be0e0"
is_byokfalse
latency581
model_permaslug"mistralai/mistral-medium-3.5-20260430"
provider_name"Mistral"
status200
total_cost0.013536
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
82.35% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount1
adverbTags
0"A hand clamped around [around]"
dialogueSentences17
tagDensity0.235
leniency0.471
rawRatio0.25
effectiveRatio0.118
78.83% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1181
totalAiIsmAdverbs5
found
0
adverb"slightly"
count1
1
adverb"very"
count4
highlights
0"slightly"
1"very"
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
36.49% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1181
totalAiIsms15
found
0
word"flickered"
count2
1
word"warmth"
count1
2
word"pulse"
count1
3
word"wavering"
count1
4
word"glistening"
count1
5
word"footsteps"
count2
6
word"echoed"
count1
7
word"stomach"
count1
8
word"could feel"
count1
9
word"weight"
count1
10
word"tension"
count1
11
word"glinting"
count1
12
word"flicked"
count1
highlights
0"flickered"
1"warmth"
2"pulse"
3"wavering"
4"glistening"
5"footsteps"
6"echoed"
7"stomach"
8"could feel"
9"weight"
10"tension"
11"glinting"
12"flicked"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"clenched jaw/fists"
count1
highlights
0"clenched her jaw"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences115
matches
0"looked surprised"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences115
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences127
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1170
ratio0.001
matches
0"truth"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount1058
uniqueNames12
maxNameDensity0.95
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Tomás"
discoveredNames
Soho1
Harlow10
Quinn1
Raven1
Nest2
Veil2
Market2
Tube1
Herrera1
Saint1
Christopher1
Tomás4
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Market"
5"Herrera"
6"Saint"
7"Christopher"
8"Tomás"
places
0"Soho"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences77
glossingSentenceCount1
matches
0"looked like they’d still be screaming if"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1170
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences127
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean30.79
std18.46
cv0.599
sampleLengths
061
123
252
368
430
529
623
748
848
936
1034
1133
122
1386
1448
1513
1628
1731
1820
1947
2033
219
2224
2341
249
2547
269
276
2834
2920
3014
3146
3231
3331
3425
3521
366
374
96.11% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences115
matches
0"were papered"
1"were lined"
2"was built"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs179
matches
0"was handing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount13
semicolonCount0
flaggedSentences10
totalSentences127
ratio0.079
matches
0"She kept her eyes locked on the figure ahead—a shadow darting between the alleys, quick and deliberate."
1"The suspect—tall, lean, dressed in a dark coat that flapped like broken wings—ducked inside."
2"Then she saw it—the bookshelf at the far end, slightly ajar."
3"The air changed instantly—cooler, thicker, like breathing in damp earth."
4"Then—a sound."
5"Figures moved between the stalls—some human, some…"
6"He was handing over something small and dark—money?"
7"Information?—and taking the token in return."
8"But the market—this place—it was a viper’s nest."
9"The case—the *truth*—was right there."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1073
adjectiveStacks1
stackExamples
0"small, bone-white token."
adverbCount24
adverbRatio0.022367194780987885
lyAdverbCount3
lyAdverbRatio0.0027958993476234857
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences127
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences127
mean9.21
std5.68
cv0.617
sampleLengths
014
113
217
317
45
52
616
712
819
914
102
115
123
1315
1412
1515
1612
1711
1826
194
208
215
2211
235
244
256
265
274
284
2911
3011
318
3210
338
3414
3518
369
377
389
3910
409
418
428
435
443
458
462
477
481
497
46.72% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.3228346456692913
totalSentences127
uniqueOpeners41
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences108
matches
0"Then she saw it—the bookshelf"
1"Then, abruptly, the tunnel opened"
2"Then he turned, his gaze"
3"Then he smirked, tucked the"
ratio0.037
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences108
matches
0"She kept her eyes locked"
1"He’d been slippery, this one."
2"She rounded a corner, her"
3"She pushed through the door,"
4"She ignored him, her gaze"
5"Her pulse ticked up."
6"She knew about the Nest’s"
7"She moved, her steps silent"
8"She broke into a jog,"
9"Her suspect was already deep"
10"She spotted him at a"
11"She didn’t have one."
12"She stepped forward, her boots"
13"She ignored him, her eyes"
14"He was handing over something"
15"She lost sight of him."
16"She twisted, ready to snap,"
17"She yanked her arm free."
18"His voice was a growl,"
19"She could feel the weight"
ratio0.287
43.33% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount90
totalSentences108
matches
0"The rain fell in sheets,"
1"Neon signs blurred into streaks"
2"Detective Harlow Quinn’s boots splashed"
3"She kept her eyes locked"
4"He’d been slippery, this one."
5"The kind of slippery that"
6"She rounded a corner, her"
7"The green neon of The"
8"The suspect—tall, lean, dressed in"
9"Harlow didn’t slow."
10"She pushed through the door,"
11"The scent of aged whiskey"
12"The walls were papered with"
13"None of them looked surprised"
14"The bartender, a broad man"
15"She ignored him, her gaze"
16"A sliver of darkness beyond."
17"Her pulse ticked up."
18"She knew about the Nest’s"
19"This was a chase."
ratio0.833
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences108
matches(empty)
ratio0
82.07% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount4
matches
0"The suspect—tall, lean, dressed in a dark coat that flapped like broken wings—ducked inside."
1"The bartender, a broad man with a scar running from his temple to his jaw, wiped a glass with a rag that had seen better decades."
2"The air smelled of rust and something older, something that made her stomach tighten."
3"Lanterns hung from the ceiling, their flames flickering in glass jars, casting eerie, shifting light."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount1
matches
0"he murmured, his voice low"
91.18% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"he murmured (murmur)"
dialogueSentences17
tagDensity0.059
leniency0.118
rawRatio1
effectiveRatio0.118
81.7028%